AS2019 Workshop

Statistical Society of Slovenia is a society of statisticians working in diverse fields of statistics and it's application. We care for statistics as a discipline of mathematics and application in medicine, biology, social sciences, economy and official statistics.

Statistical Society of Slovenia

<H2>Statistics meets machine learning: the example of statistical boosting</H2>
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Riccardo De Bin Department of Mathematics University of Oslo, Norway
Starting with a brief discussion on the relationship between statistics and machine learning (and data science) and on the basic concepts of statistical learning (overfitting, bias-variance trade-off, etc.), the workshop will focus on boosting, a specific method for data analysis which combines the powerfulness of a machine learning technique and the interpretability of a statistical model. Originally developed as a black-box for classification, boosting has been succesively statistically interpreted and, thanks to its flexibility, profitably applied to many statistical problems. Advantages of boosting, in addition to the aforementioned flexibility, include the ability to cope with high-dimensional data, implicit variable selection and shrinkage. The workshop will present boosting from a statistical point of view, focusing on its practical implementation in R and on the interepretation of the results. The participants should be familiar with R programming and bring their own laptops, with the latest version of R. The use of R Studio is also encouraged. A wireless connection to the Internet will be provided. 
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Hotel Ribno, Bled

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AS2019 Workshop

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AS2019 Workshop

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